{"schemaVersion":"jobsearcher.job.v1","id":"760db282028f0ac0ec5f2f43","url":"https://jobsearcher.com/jobs/760db282028f0ac0ec5f2f43","canonicalUrl":"https://jobsearcher.com/jobs/760db282028f0ac0ec5f2f43","title":"Software Development Engineer, Amazon Marketing Cloud Assistant","description":"DESCRIPTION\nApplication deadline: Jun 16, 2026\n\nBuild the AI-powered conversational agent that's transforming how advertisers interact with their data—replacing SQL queries and complex UIs with natural language that simply works. You'll work at the intersection of large language models, distributed systems, and petabyte-scale advertising data, shipping a high-visibility product at the forefront of generative AI in advertising.\n\nWe're looking for a Software Development Engineer II who is excited to solve hard, novel problems: natural language understanding, data accuracy at scale, agent evaluation, and translating complex analytical workflows into intuitive AI-driven experiences.\n\nIn this role, you will:\n\nDesign and build core backend services powering an LLM-based conversational assistant for Amazon Marketing Cloud\nOwn end-to-end delivery of features—from system design through production deployment and operational excellence\nBuild scalable data pipelines and infrastructure that ingest and process petabyte-scale advertising data from multiple sources\nShape the future of how advertisers generate insights, build audiences, and optimize campaigns through AI\n\nThis is a fast-paced, ownership-driven environment where you'll collaborate across science, product, and engineering to ship products that directly impact how millions of advertisers succeed on Amazon.\n\nWho We're Looking For\nWe seek someone with a strong coding foundation and experience building distributed systems at scale—someone energized by ambiguity and fast-moving problem spaces. Ideal candidates bring curiosity about LLM-based applications and a track record of delivering customer-facing products end to end. Experience with advertising technology, analytics platforms, or AWS services is a plus.\n\nKey job responsibilities\nAI Assistant Platform\n\nDesign, develop, and maintain backend services powering the AMC conversational assistant\nBuild and optimize LLM orchestration pipelines including prompt engineering, tool use, and agent workflows\nDevelop APIs and integrations with AMC's query engine, reporting services, and audience management systems\nCollaborate with applied scientists to integrate ML models and improve response quality\nContribute to the evaluation framework—designing metrics, building ground truth datasets, and improving agent accuracy\n\nData Infrastructure\n\nImplement and maintain scalable data pipelines to ingest, process, and store petabyte-scale log-level advertising data from multiple sources (ad servers, exchanges, SSPs)\nBuild ETL workflows that transform raw event-level data into queryable, analysis-ready formats following established architectural patterns\nCreate and maintain APIs that enable analytics teams and data scientists to query log-level data efficiently\nImplement data quality checks, validation logic, and monitoring for data pipelines and services\nOptimize performance and cost efficiency of data processing jobs and queries\n\nEngineering Excellence\n\nOwn end-to-end delivery of features from design through production deployment\nWrite clean, well-tested code and participate in code reviews to maintain high engineering standards\nImprove system reliability, latency, and scalability as the product scales to more advertisers\nDebug and resolve production issues, participating in on-call rotations as needed\nDocument systems, processes, and runbooks to support operational excellence\nCollaborate with senior engineers to contribute to design discussions and architectural decisions\n\nAbout the team\nThe Amazon Marketing Cloud (AMC) Assistant team is building an AI-powered conversational agent that helps advertisers interact with AMC through natural language. We are developing LLM-based experiences that simplify complex analytical workflows—enabling advertisers to generate insights, build audiences, and optimize campaigns without writing SQL or navigating complex UIs. Our work sits at the intersection of generative AI, advertising technology, and large-scale data systems.\nBASIC QUALIFICATIONS\n3+ years of non-internship professional software development experience\n2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience\n1+ years of software development engineer or related occupational experience\n1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience\n1+ years of Object Oriented Design experience\nExperience programming with at least one software programming language\nPREFERRED QUALIFICATIONS\n3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience\nBachelor's degree in computer science or equivalent\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\n\nThe base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.\n\nUSA, CO, Boulder - 143,700.00 - 194,400.00 USD annually","company":"Amazon.com Services","rawCompany":"amazoncom services","city":"Boulder","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-07-21T12:13:13.480Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Development Engineer, Amazon Marketing Cloud Assistant","description":"DESCRIPTION\nApplication deadline: Jun 16, 2026\n\nBuild the AI-powered conversational agent that's transforming how advertisers interact with their data—replacing SQL queries and complex UIs with natural language that simply works. You'll work at the intersection of large language models, distributed systems, and petabyte-scale advertising data, shipping a high-visibility product at the forefront of generative AI in advertising.\n\nWe're looking for a Software Development Engineer II who is excited to solve hard, novel problems: natural language understanding, data accuracy at scale, agent evaluation, and translating complex analytical workflows into intuitive AI-driven experiences.\n\nIn this role, you will:\n\nDesign and build core backend services powering an LLM-based conversational assistant for Amazon Marketing Cloud\nOwn end-to-end delivery of features—from system design through production deployment and operational excellence\nBuild scalable data pipelines and infrastructure that ingest and process petabyte-scale advertising data from multiple sources\nShape the future of how advertisers generate insights, build audiences, and optimize campaigns through AI\n\nThis is a fast-paced, ownership-driven environment where you'll collaborate across science, product, and engineering to ship products that directly impact how millions of advertisers succeed on Amazon.\n\nWho We're Looking For\nWe seek someone with a strong coding foundation and experience building distributed systems at scale—someone energized by ambiguity and fast-moving problem spaces. Ideal candidates bring curiosity about LLM-based applications and a track record of delivering customer-facing products end to end. Experience with advertising technology, analytics platforms, or AWS services is a plus.\n\nKey job responsibilities\nAI Assistant Platform\n\nDesign, develop, and maintain backend services powering the AMC conversational assistant\nBuild and optimize LLM orchestration pipelines including prompt engineering, tool use, and agent workflows\nDevelop APIs and integrations with AMC's query engine, reporting services, and audience management systems\nCollaborate with applied scientists to integrate ML models and improve response quality\nContribute to the evaluation framework—designing metrics, building ground truth datasets, and improving agent accuracy\n\nData Infrastructure\n\nImplement and maintain scalable data pipelines to ingest, process, and store petabyte-scale log-level advertising data from multiple sources (ad servers, exchanges, SSPs)\nBuild ETL workflows that transform raw event-level data into queryable, analysis-ready formats following established architectural patterns\nCreate and maintain APIs that enable analytics teams and data scientists to query log-level data efficiently\nImplement data quality checks, validation logic, and monitoring for data pipelines and services\nOptimize performance and cost efficiency of data processing jobs and queries\n\nEngineering Excellence\n\nOwn end-to-end delivery of features from design through production deployment\nWrite clean, well-tested code and participate in code reviews to maintain high engineering standards\nImprove system reliability, latency, and scalability as the product scales to more advertisers\nDebug and resolve production issues, participating in on-call rotations as needed\nDocument systems, processes, and runbooks to support operational excellence\nCollaborate with senior engineers to contribute to design discussions and architectural decisions\n\nAbout the team\nThe Amazon Marketing Cloud (AMC) Assistant team is building an AI-powered conversational agent that helps advertisers interact with AMC through natural language. We are developing LLM-based experiences that simplify complex analytical workflows—enabling advertisers to generate insights, build audiences, and optimize campaigns without writing SQL or navigating complex UIs. Our work sits at the intersection of generative AI, advertising technology, and large-scale data systems.\nBASIC QUALIFICATIONS\n3+ years of non-internship professional software development experience\n2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience\n1+ years of software development engineer or related occupational experience\n1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience\n1+ years of Object Oriented Design experience\nExperience programming with at least one software programming language\nPREFERRED QUALIFICATIONS\n3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience\nBachelor's degree in computer science or equivalent\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\n\nThe base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.\n\nUSA, CO, Boulder - 143,700.00 - 194,400.00 USD annually","datePosted":"2026-07-21T12:13:13.480Z","dateModified":"2026-07-21T12:13:13.480Z","hiringOrganization":{"@type":"Organization","name":"Amazon.com Services","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Boulder","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"760db282028f0ac0ec5f2f43"},"url":"https://jobsearcher.com/jobs/760db282028f0ac0ec5f2f43"}}